Automated tour design in the Saturnian system

Yuji Takubo, Damon Landau, Brian Anderson
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Abstract

Future missions to Enceladus would benefit from multi-moon tours that leverage \(V_\infty \) on resonant orbits to progressively transfer between moons. Such resonance hopping trajectories present a vast search space for global optimization due to the different combinations of available resonances and flyby velocities. The proposed multi-objective tour design algorithm optimizes entire moon tours from Titan to Enceladus via grid-based dynamic programming, in which the computation time is significantly reduced by discretization of the design variables and pre-computation of a database of \(V_\infty \)-leveraging transfers. The result unveils a complete trade space of the moon tour design to Enceladus, and the obtained solution is validated in a full-ephemeris model.

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土星系统中的自动游览设计
未来前往 "恩克拉多斯 "的飞行任务将受益于多卫星巡视,利用共振轨道上的\(V_\infty \)在卫星之间逐步转移。由于可用共振和飞越速度的不同组合,这种共振跳跃轨迹为全局优化提供了广阔的搜索空间。所提出的多目标巡视设计算法通过基于网格的动态编程优化了从土卫六到恩克拉多斯的整个月球巡视,其中通过设计变量的离散化和(V_\infty \)杠杆转移数据库的预先计算,计算时间大大缩短。结果揭示了前往恩克拉多斯的月球旅行设计的完整贸易空间,所获得的解决方案在全星历模型中得到了验证。
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